Recognition of sacroiliac joint structural lesions: Comparison of volumetric interpolated breath-hold examination (VIBE) sequences with different slice thicknesses to T1-weighted turbo-echo

Xie, Ruyi; Sun, Dong; Morelli, John N.; Yin, Cuilin; Xiong, Yan; Li, Xiaoming

doi:10.1016/j.ejrad.2020.108849

Cited by 12 publications

(10 citation statements)

References 34 publications

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“…Our study shows that the inter-reader agreement for the binary erosion scores were moderate and similar across all T1WI datasets. The κ values in the present study are comparable to the results in literature, which varied from 0.46 to 0.76 for erosion detection on T1WI with a slice thickness of 3 mm or 4 mm [8,12,21,29]. However, direct comparison of the inter-reader κ value with other studies may not be appropriate as it can be affected by the prevalence rate of the lesion in the study group [30], as well as the differences in study design and scoring methods [31].…”

Section: Discussionsupporting

confidence: 89%

“…In comparison to radiograph and CT, active inflammatory lesions including bone marrow edema, capsulitis, enthesitis and joint space fluid can be seen on MRI. For structural J o u r n a l P r e -p r o o f lesion detection, although there are explorations of gradient echo sequences for erosion detection [21], a T1-weighted spin echo sequence is still the most commonly used sequence [22] in clinical practice and clinical studies. Previous studies focused on the reliability of T1weighted images (T1WI) for detecting erosions [5,8,12,13], using a slice thickness of 3 or 4 mm.…”

Section: Introductionmentioning

confidence: 99%

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Diagnostic performance for erosion detection in sacroiliac joints on MR T1-weighted images: Comparison between different slice thicknesses

Chen

Herregods

Jaremko

et al. 2020

European Journal of Radiology

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Diagnostic performance for erosion detection in sacroiliac joints on MR T1-weighted images: comparison between different slice thicknesses Min Chen (Conceptualization) (Data curation) (Formal analysis) (Methodology) (Software) (Validation) (Visualization) (Writingoriginal draft) (Writing -review and editing), Nele Herregods (Methodology) (Validation) (Visualization) (Writing -original draft) (Writing -review and editing), Jacob L. Jaremko (Methodology) (Validation) (Visualization) (Writing -original draft) (Writing -review and editing), Philippe Carron (Validation) (Visualization) (Writingoriginal draft) (Writing -review and editing), Dirk Elewaut (Validation) (Visualization) (Writing -original draft) (Writing -review and editing), Filip Van den Bosch (Validation) (Visualization) (Writing -original draft) (Writing -review and editing), Lennart Jans (Conceptualization) (Data curation) (Formal analysis) (Methodology) (Project administration) (Resources) (Supervision) (Validation) (Visualization) (Writing -original draft) (Writing -review and editing)

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Diagnostic performance for erosion detection in sacroiliac joints on MR T1-weighted images: Comparison between different slice thicknesses

Chen

Herregods

Jaremko

et al. 2020

European Journal of Radiology

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“…These estimated values were after adjustment for within-participant correlation effects across readers, quadrants, and methods. The results for each reader without statistical adjustments are displayed in Table E2 (on-methods will achieve 80% power to detect an absolute improvement in accuracy of 10% with sCT, which is at the two-sided 5% significance level using an exact conditional McNemar test, when we assumed the accuracy with conventional T1weighted MRI was 80% (19,20) and the correlation of accuracies between T1-weighted and sCT measurements was 0.19 (based on pilot data of 80 quadrants in 10 testing participants scanned before the start of the study). This calculation assumed no effect modification of the method used on the accuracy by the participant assessed (no participant 3 method interaction).…”

Section: Diagnostic Performance Of Sct and T1-weighted Mri For Structural Lesionsmentioning

confidence: 99%

MRI-based Synthetic CT in the Detection of Structural Lesions in Patients with Suspected Sacroiliitis: Comparison with MRI

et al. 2021

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MUSCULOSKELETAL IMAGINGM RI of the sacroiliac (SI) joints is the imaging standard used to detect sacroiliitis in patients with spondyloarthritis (1). Bone marrow edema of the SI joints plays a key role in diagnosis but has limited sensitivity (65%) and specificity (75%) (1-3). Erosions of the SI joints are less prevalent in the setting of spondyloarthritis, with lower sensitivity (54%) but much higher specificity (95%) (2). T1-weighted MRI scans are obtained to depict structural lesions, such as erosions, which are notoriously difficult to demonstrate (2,4).CT also demonstrates erosions, as it enables clear visualization of bone due to its much higher x-ray attenuation. The combined use of MRI and CT is applied in radiation therapy planning (5) and orthopedic surgery (6,7). However, performing both CT and MRI increases patient burden, adds ionizing radiation, and introduces complex workflows. It would be useful to generate synthetic CT (sCT) data demonstrating bone anatomy from MRI scans. Different techniques to generate sCT data were developed in the past decade, mainly for radiation therapy guidance (8,9) and PET/MRI attenuation correction (10,11).In this study, we evaluate an sCT data generation method aiming at specific visualization of the osseous morphology by Hounsfield unit estimation (12). The MRI-based sCT is a deep learning-based technology, performing three-dimensional (3D) MRI to CT mapping and generating CT-like images from an axial 3D T1-weighted radiofrequency spoiled multiple gradient-echo (T1MGE) sequence. This technology was clinically validated in the cervical spine and pelvis (12-14).

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“…This fat–saturated 3D GRE sequence with nearly isotropic resolution is completed with relatively short acquisition times and preserved image quality. Another recent study [41 ▪ ] showed that a VIBE sequence with 1.2 mm slice thickness and less than one-minute acquisition time was superior to T1SE for detection of SI joint space changes and erosions in patients with suspected SpA, whereas the utility of the 3 mm slice thickness VIBE remains questionable.…”

Section: Advancements In the Imaging Of Structural Lesions In Axial S...mentioning

confidence: 99%

Novel imaging techniques for sacroiliac joint assessment

Morbée

Jans

Herregods

2022

Current Opinion in Rheumatology

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Purpose of reviewImaging of the sacroiliac joints is one of the cornerstones in the diagnosis and monitoring of axial spondyloarthritis. We aim to present an overview of the emerging imaging techniques for sacroiliac joint assessment and provide an insight into their relevant benefits and pitfalls.Recent findingsEvaluation of structural and active inflammatory lesions in sacroiliitis are both important for understanding the disease process. Dual-energy computed tomography (CT) can detect inflammatory bone marrow edema in the sacroiliac joints and provides an alternative for magnetic resonance imaging (MRI). Three-dimensional gradient echo sequences improve the visualization of erosions on MRI. Susceptibility weighted MRI and deep learning-based synthetic CT are innovative MRI techniques that allow for generating ‘CT-like’ images and better depict osseous structural lesions than routine MRI sequences.SummaryNew imaging innovations and developments result in significant improvements in the imaging of spondyloarthritis. Advanced MRI techniques enhance its potential for the accurate detection of structural and active inflammatory lesions of sacroiliitis in one single imaging session.

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Recognition of sacroiliac joint structural lesions: Comparison of volumetric interpolated breath-hold examination (VIBE) sequences with different slice thicknesses to T1-weighted turbo-echo

Cited by 12 publications

References 34 publications

Diagnostic performance for erosion detection in sacroiliac joints on MR T1-weighted images: Comparison between different slice thicknesses

Diagnostic performance for erosion detection in sacroiliac joints on MR T1-weighted images: Comparison between different slice thicknesses

MRI-based Synthetic CT in the Detection of Structural Lesions in Patients with Suspected Sacroiliitis: Comparison with MRI

Novel imaging techniques for sacroiliac joint assessment

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